Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 693

The DOI matches its Crossref record.

Spatial and Resource Factors Influencing High Microbial Diversity in Soil

Open access
Zhou, Jizhong, Xia, Beicheng, Treves, David S., Wu, L.-Y., Marsh, Terry L., O’Neill, Robert V., Palumbo, Anthony V., Tiedje, James M.·2002·Applied and Environmental Microbiology

Abstract

To begin defining the key determinants that drive microbial community structure in soil, we examined 29 soil samples from four geographically distinct locations taken from the surface, vadose zone, and saturated subsurface using a small-subunit rRNA-based cloning approach. While microbial communities in low-carbon, saturated, subsurface soils showed dominance, microbial communities in low-carbon surface soils showed remarkably uniform distributions, and all species were equally abundant. Two diversity indices, the reciprocal of Simpson’s index (1/ D ) and the log series index, effectively distinguished between the dominant and uniform diversity patterns. For example, the uniform profiles characteristic of the surface communities had diversity index values that were 2 to 3 orders of magnitude greater than those for the high-dominance, saturated, subsurface communities. In a site richer in organic carbon, microbial communities consistently exhibited the uniform distribution pattern regardless of soil water content and depth. The uniform distribution implies that competition does not shape the structure of these microbial communities. Theoretical studies based on mathematical modeling suggested that spatial isolation could limit competition in surface soils, thereby supporting the high diversity and a uniform community structure. Carbon resource heterogeneity may explain the uniform diversity patterns observed in the high-carbon samples even in the saturated zone. Very high levels of chromium contamination (e.g., >20%) in the high-organic-matter soils did not greatly reduce the diversity. Understanding mechanisms that may control community structure, such as spatial isolation, has important implications for preservation of biodiversity, management of microbial communities for bioremediation, biocontrol of root diseases, and improved soil fertility.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1128/aem.68.1.326-334.2002

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 693

Metadata

Authors
Zhou, J., Xia, B., Treves, D. S., Wu, L.-Y., Marsh, T. L., O’Neill, R. V., Palumbo, A. V., & Tiedje, J. M.
Venue
Applied and Environmental Microbiology
Published
2002-01
Volume
68
Issue
1
Pages
326-334
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W2140341891
Cited by
693
References
0
FWCI
27.83
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Spatial and Resource Factors Influencing High Microbial Diversity in Soil. https://app.cochat.ai/papers/10.1128/aem.68.1.326-334.2002
The paper
Zhou, J., Xia, B., Treves, D. S., Wu, L.-Y., Marsh, T. L., O’Neill, R. V., Palumbo, A. V., & Tiedje, J. M. (2002). Spatial and Resource Factors Influencing High Microbial Diversity in Soil. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.68.1.326-334.2002

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.